albumentations
airsonos
albumentations | airsonos | |
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28 | 7 | |
13,451 | 2,101 | |
1.1% | - | |
8.9 | 0.0 | |
3 days ago | 11 months ago | |
Python | JavaScript | |
MIT License | MIT License |
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albumentations
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
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Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.
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Tokyo Drift : detecting drift in images with NannyML and Whylogs
Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …
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[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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To get dataset for face image restoration.
You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.
airsonos
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Ask HN: What side projects landed you a job?
The repository https://github.com/stephen/airsonos has the code and is surprisingly accessible.
- Question on Apple Music to Play:5 gen 1.
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Found 2 play 5 speakers and two play 3 speakers at a local thrift store today! First Sonos product
If it's just Airplay for music, you can try Airsonos: https://github.com/stephen/airsonos
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I hacked SONOS and YouTube the same day
This one is pretty simple. All the communication with the sonos device happens in the clear and the protocols are actually pretty well documented.
Getting good at using wireshark is a good place to start.
This project is pretty dead but I remember using it a few years ago https://github.com/stephen/airsonos
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Apple Music requires me to run a nodeJS server?
IIUC I need to run https://github.com/stephen/airsonos in order to get my Sonos system to be an option on Airplay https://s.natalian.org/2021-10-02/music.png option?
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How can I hack an old Sonos play 1 to simply stream audio from my mac?
You could try running AirSonos https://github.com/stephen/airsonos to stream audio via AirPlay.
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
unoffical-sonos-controller-for-linux - An Electron based linux app for controlling your sonos system.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
sonos-web - Web interface for Sonos audio systems
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
unoffical-sonos-controller-fo
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
node-red-contrib-sonos-plus - A set of Node-RED nodes to control SONOS player in your local network.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
node-sonos-http-api - An HTTP API bridge for Sonos easing automation. Hostable on any node.js capable device, like a raspberry pi or similar.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
youtubesampler - A site to download youtube videos as mp3's